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Sam Altman’s remarks at the United Nations Security Council
OpenAI CEO Sam Altman addresses the UN Security Council on AI as a possible Renaissance vs Industrial Revolution, urging shared capability measurements, safeguards, and keeping frontier systems under human control.
8 min · 1,739 words
His frailty made Ozzy’s final gig true heavy metal
Sociologist Keith Kahn-Harris watches Ozzy Osbourne’s seated farewell show while nursing a broken ankle, and finds metal’s hardness was always a thin shell over frailty, shame, love, and bodies that fail.
9 min · 1,958 words
Claude Opus 5.5, GPT-6 Sol, GPT-6 Luna, and a new price war
Simon Willison’s first-look notes on Anthropic’s Claude Opus 5.5 and OpenAI’s GPT-6 Sol and Luna launches the same day—pricing, early impressions, and what the renewed model price war means for builders.
5 min · 1,148 words
Senior PhD student Bhavay Tyagi collects practical advice for juniors and undergrads navigating a PhD amid rapid AI change—staying abreast, choosing problems, and keeping research craft intact.
2 min · 490 words
Thirty years in, Maroun Baydoun reflects on JavaScript’s midlife moment: an ecosystem eyeing younger, leaner languages, and what that restlessness means for the web’s default programming language.
6 min · 1,385 words
Jeff Kaufman explores teleoperated humans: people remotely controlling other people’s bodies as a labor and agency model—what it would mean for work, consent, inequality, and AI-adjacent automation.
7 min · 1,655 words
Tom Batey of WebDepend argues that AI can run checks but cannot judge whether software satisfies expectations—so businesses still need human testers who own responsibility when AI writes and verifies code.
6 min · 1,412 words
AI Has No Wisdom and Neither Will You
Alexandru Nedelcu argues that outsourcing coding, review, and reading to AI risks losing the hard-won wisdom that only comes from doing the work—and why “I haven’t written code since 2025” is a warning, not a flex.
4 min · 913 words
David Bushell timestamps the moment he refused Apple Intelligence features—and Apple’s later defaults said yes anyway—on consent, OS nudges, and keeping a blog as a personal audit trail.
2 min · 513 words
Pangram Has Emerged as the Gold Standard of AI Detection. Should You Trust It?
Lexi Pandell’s WIRED investigation of Pangram, the Brooklyn AI-detection startup whose accusations reshaped literary publishing—and the limits of trusting any detector as a career-making authority.
12 min · 2,783 words
PlayTaurus argues guitarists should buy hardware for what it is and run community firmware on it—ESP32-class chips are cheap enough, NAM models are open, and closed pedal firmware is the last proprietary lock.
2 min · 477 words
Managing the Hidden Overhead of AI Software Engineering
Jessica Doering on verification debt: AI coding tools move the bottleneck from typing to review, why opening another agent terminal feels productive, and habits that spend reclaimed time on specs, docs, and understanding.
3 min · 725 words
Jev introduces a new shape of LLM—System One, aka Decision Models
Simon Willison reviews TypeSafe AI’s Jev: a cheap, fast decision model that returns calibrated floats for yes/no, choice, and score questions—and why black-box bias and evals matter more than for chat LLMs.
3 min · 796 words
Building Software That Can Prove Agents WrongWhat changes when implementation becomes cheaper than verification
Rafael Câmara argues that once coding agents implement faster than they can verify, the limiting factor is application design: software must expose cheap, independent evidence that can prove an agent's change wrong—not just look right on the happy path.
2 min · 486 words
It was never about coding 📝 post "With the AI doing the coding, do we just spend all day reviewing its output?" The rapid onset of impressively capable coding agents continues to raise this question in conversations with peers, to [press interviews](https://blog.dyanacek.com/2026/03/12/coding after coders/), to [podcasts](https://blog.dyanacek.com/2026/07/01/code with jason with david/).
9 min · 1,971 words
The current balance of power in open modelsThe expanded form of a testimony prepared for Congress on open-weight models and U.S.–China competition.
Nathan Lambert’s congressional briefing notes on open vs open-weight vs closed models: where Chinese labs lead, what Western open weights still hold, and why policy should treat open distribution as a strategic variable—not a binary.
12 min · 2,866 words
Why I Changed My Mind About AI Risk
Francis Fukuyama explains why he now takes AI risk more seriously—especially agentic over-delegation, labor dignity, and misuse—while remaining skeptical of simple extinction narratives.
7 min · 1,710 words
Frontier Labs Are Selling Garbage to Fools in Washington
Selling snake oil to the United States Congress is an ancient American craft, and the frontier artificial intelligence industry is currently attempting the most audacious hustle in modern corporate history.
7 min · 1,701 words
So long Google, and thanks for all the nudes
Working with a pile of ancient Android 6 phones without Play Store access becomes an accidental lesson in how much quieter—and more joyful—a Google-light phone can feel.
2 min · 465 words
Steve Klabnik digs into what programming languages mean by “arguments,” how calling conventions and type systems shape the word, and why debates about language design often talk past each other when the underlying models differ.
12 min · 2,769 words